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Accepted for/Published in: JMIR Formative Research

Date Submitted: Mar 9, 2023
Open Peer Review Period: Mar 9, 2023 - May 4, 2023
Date Accepted: Oct 29, 2023
(closed for review but you can still tweet)

The final, peer-reviewed published version of this preprint can be found here:

A Bluetooth-Enabled Device for Real-Time Detection of Sitting, Standing, and Walking: Cross-Sectional Validation Study

Daryabeygi R, Rawstorn J, Dunstan DW, Shariful Islam SM, Abdelrazek M, Kouzani A, Thummala P, McVicar J, Maddison R

A Bluetooth-Enabled Device for Real-Time Detection of Sitting, Standing, and Walking: Cross-Sectional Validation Study

JMIR Form Res 2024;8:e47157

DOI: 10.2196/47157

PMID: 38265864

PMCID: 10851128

Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.

Validation of A Bluetooth-enabled Device for Real-time Detection of Sitting, Standing and Walking

  • Reza Daryabeygi; 
  • Johnathan Rawstorn; 
  • David W. Dunstan; 
  • Sheikh Mohammed Shariful Islam; 
  • Mohamed Abdelrazek; 
  • Abbas Kouzani; 
  • Poojith Thummala; 
  • Jenna McVicar; 
  • Ralph Maddison

ABSTRACT

Background:

Despite their popularity, many existing physical activity devices do not provide real-time data to measure sedentary and standing time, therefore they cannot be used for just-in-time adaptive interventions to interrupt prolonged sitting.

Objective:

This study assessed the criterion and convergent validity of a Bluetooth-enabled prototype activity tracker called Sedentary behaviOR Detector (SORD) that will be used for real-time and adaptive interventions.

Methods:

Fifteen healthy adults wore SORD and activPAL devices on their thighs while engaging in activities (lying, reclining, sitting, standing, and walking). Direct observation was facilitated with cameras. Algorithms were constructed using Python Programming Language. The Bland-Altman method was used to assess the level of agreement.

Results:

One model generated a low level of bias and high precision for SORD. In this model, accuracy, sensitivity and specificity were all above 0.95 for detecting sitting+ reclining, standing and walking. Bland-Altman results showed that mean biases between SORD and direct observation were 0.3% for sitting+reclining (LoA = -0.3% to 0.9%), 1.19% for standing (LoA = -1.05% to 3.42%), and -4.71% for walking (LoA = -9.26% to -0.16%). Mean biases between SORD and activPAL were -3.45% for sitting+reclining (LoA = -11.59 % to 4.68%), 7.45% for standing (LoA = -5.04% to 19.95%) and -5.40% for walking (LoA = -11.44% to 0.64%).

Conclusions:

Results indicate that SORD is a valid device to facilitate future just-in-time adaptive interventions to reduce sedentary behaviour.


 Citation

Please cite as:

Daryabeygi R, Rawstorn J, Dunstan DW, Shariful Islam SM, Abdelrazek M, Kouzani A, Thummala P, McVicar J, Maddison R

A Bluetooth-Enabled Device for Real-Time Detection of Sitting, Standing, and Walking: Cross-Sectional Validation Study

JMIR Form Res 2024;8:e47157

DOI: 10.2196/47157

PMID: 38265864

PMCID: 10851128

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